2022
DOI: 10.2139/ssrn.4186719
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Stabilisation of Evaporation and Spray Drying Processes with Municipal or Reverse Osmosis Water as an Entry Point for Chlorate During Manufacture of Skim Milk Powder

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“…After thoroughly assessing the completeness of the downloaded genomes of Hafnia, contamination, and nucleotide identity scores, we used the retained highquality genomes to perform a comprehensive tracking analysis within the main environmental sources of Hafnia strains providing an ecological overview of the distribution of this bacterial species (Data Set S2). Among the environmental sources available, honeybee gut and raw milk cheese were chosen for this study due to recent literature identifying Hafnia as a common pathogen in bees and a prevalent bacterial species in fermented foods and related food spoilage processes (McCarthy et al, 2023). Therefore, we selected 128 deep-shotgun metagenomics datasets from food-dairy samples (Fontana et al, 2023) and 158 metagenomics datasets from honeybee gut samples (additional details in material & methods) to track Hafnia strains with an in silico approach.…”
Section: Investigation Of the Ecological Distribution Of The Hafnia G...mentioning
confidence: 99%
“…After thoroughly assessing the completeness of the downloaded genomes of Hafnia, contamination, and nucleotide identity scores, we used the retained highquality genomes to perform a comprehensive tracking analysis within the main environmental sources of Hafnia strains providing an ecological overview of the distribution of this bacterial species (Data Set S2). Among the environmental sources available, honeybee gut and raw milk cheese were chosen for this study due to recent literature identifying Hafnia as a common pathogen in bees and a prevalent bacterial species in fermented foods and related food spoilage processes (McCarthy et al, 2023). Therefore, we selected 128 deep-shotgun metagenomics datasets from food-dairy samples (Fontana et al, 2023) and 158 metagenomics datasets from honeybee gut samples (additional details in material & methods) to track Hafnia strains with an in silico approach.…”
Section: Investigation Of the Ecological Distribution Of The Hafnia G...mentioning
confidence: 99%